maknee/wikipedia_qwen_06b

这是一个由Qwen/Qwen3-Embedding-0.6B模型生成的包含100万文本样本的高质量向量嵌入数据集，来源于wikimedia/wikipedia。该数据集旨在用于向量数据库训练、相似性搜索和检索任务，支持多种格式。数据集包括基础数据集和查询数据集，向量维度为1024。支持的特征提取、相似性搜索、文本检索和向量数据库训练等任务。

This is a high-quality vector embeddings dataset containing 1,000,000 text samples generated using the Qwen/Qwen3-Embedding-0.6B model from the wikimedia/wikipedia source. The dataset is designed for vector database training, similarity search, and retrieval tasks, supporting multiple formats. It includes a base dataset and a query dataset with a vector dimension of 1024. It supports tasks such as feature extraction, similarity search, text retrieval, and vector database training.